Vision

The updates expand ChatGPT into a voice-controlled, interactive system for text and image interpretation and production.

While Microsoft and Google scramble to supercharge their businesses with text generation, Meta has yet to launch a flagship generative AI service. Reporters went looking for reasons why.

TinyML shows promise for bringing deep learning to applications where electrical power is scarce, processing in the cloud is impractical, and/or data privacy is paramount.

Asked to produce “a landscape by Thomas Kinkade,” a text-to-image generator fine-tuned on the pastoral painter’s work can mimic his style in seconds, often for pennies. A new technique aims to make it harder for algorithms to mimic an artist’s style.

Large language models may soon help military analysts and commanders make decisions on the battlefield.

We know that image generators create wonderful original works, but do they sometimes replicate their training data? Recent work found that replication does occur.

French lawmakers said “oui” to broad uses of AI-powered surveillance. France’s National Assembly authorized authorities to test systems that detect unlawful, dangerous, or unusual behavior at next year’s Summer Olympics in Paris. The bill will become law unless the country’s top court blocks it.

Recent multimodal models process both text and images as sequences of tokens, but they learn to represent these distinct data types using separate loss functions. Recent work unifies the loss function as well.

Get ready for the next wave of language-model mania. OpenAI introduced the latest in its GPT series of large language models to widespread excitement. The company showed statistics and examples designed to demonstrate...

Training a model to separate the objects in a picture typically requires labeled images for best results. Recent work upped the ante for training without labels.

Amazon published a series of web pages designed to help people use AI responsibly. Amazon Web Services introduced so-called AI service cards that describe the uses and limitations of some models it serves.

The world’s supply of data soon may fail to meet the demands of increasingly hungry machine learning models. Researchers at Epoch AI found that a shortage of text data could cause trouble as early as this year. Vision data may fall short within a decade.

As we enter the new year, there is a growing hope that the recent explosion of generative AI will bring significant progress in active learning. This technique, which enables machine learning systems to generate their own training examples and request them to be labeled...

Individual deep learning models proved their mettle in hundreds of tasks. The scope of multi-task models expanded dramatically in the past year.

Work on vision transformers exploded in 2022. Researchers published well over 17,000 ViT papers during the year. A major theme: combining self-attention and convolution.